Dynamic K-mean Clustering Analysis Based on Improved Ant Colony Algorithm

This paper proposes a method of dynamic K-mean clustering analysis based on ant colony algorithm.The algorithm makes use of the great ability of ant colony algorithm for disposing local extremum firstly.And then the results from previous for K-mean clustering method can make up the deficiency of ant colony algorithm.In this way,the combination of ant colony algorithm with K-means clustering organically could find the whole distributing optimization clustering to achieve improved clustering analysis based on improved function.